eBook Chapters

Analysis of Symptoms

Symptoms are deviation from a state of health perceptible to by the patient, people around and the doctor/veterinarian. Symptoms can be physical and mental. Symptoms narrated by the patients are subjective and observed by the doctor / veterinarian are objective. Animals lack subjective symptoms. The word analysis means “careful examination of the different parts or details of something.” According to Castro “The act of resolving or reducing or breaking the whole in to pieces or groups is called analysis”. When analyzing a case, the value of symptoms is taken in to consideration on several points such as personality, and categories of symptoms as subjective, objective, general, common and uncommon symptoms. Symptom analysis gives an opportunity to learn when the symptoms developed, the feeling that those circumstances evoked the symptoms, and the ways in which those symptoms may have served some useful purpose to the patient. The main purpose of analysis is to identify the prescribing symptom in the given case.

Carbohydrates are widely prevalent in the plant kingdom, comprising the mono, di-, oligo-, and polysaccharides. The common monosaccharides are glucose, fructose, galactose, ribose etc. The disaccharides, i.e., the combination of two monosaccharides include sucrose, lactose and maltose. Starch and cellulose are polysaccharides consisting of many monosaccharide residues. Cellulose is the most abundant organic compound on this planet since it forms part of the cell wall in plants.

Aldehydes (–CHO) and ketones (= CO) are active groups in carbohydrates. Carbohydrates contain many hydroxyl groups as well. The number of hydroxyl groups varies with the number of carbon atoms. Monosaccharides contain the free aldehyde or ketone group. Some disaccharides have the free aldehyde group (maltose) and some do not have the free ones (sucrose). The polysaccharides, starch and cellulose, are polymers of monosaccharides linked through the active groups. The chemical properties of saccharides vary depending upon the number of hydroxyl groups and the presence or absence of –CHO/= CO groups. These variations are the basis in the development of colour reactions to identify the saccharides. Some simple tests used to identify the presence/absence of certain saccharides are listed below:

Introduction

Ammonia is the major end product in the breakdown of proteins in fish. Fish digest the protein in their feed and excrete ammonia through their gills and in their faces. The amount of ammonia excreted by fish varies with the amount of feed put into the pond or culture system – increasing as feeding rates increase. Ammonia also enters the pond from bacterial decomposition of organic matter such as uneaten feed or dead algae and aquatic plants.

Introduction

Data collection, compilation and analysis of Aquaculture data has a major role to play in Aquaculture research. The time spent in collecting, compiling, analysing statistical data and taking appropriate timely action creates a gap in aquaculture. Therefore timely action is very much essential. This gap can be reduced by taking help of computers in collection, compilation and analysis of statistical data which will save time as well as manpower and will help in taking appropriate action in appropriate time. Electronic spreadsheet has a major role to play in this context even if the user is having little or no programming knowledge. The most widely used office automation package is one of the components which consists of spreadsheet application, in which accounting, balance sheet calculations, statistical data analysis, graphical presentations, etc. are possible with few key strokes and mouse operation only. EXCEL has several capabilities which include opening of a workbook; entering and editing data; building formulas to calculate values; managing list of data; formatting data; creating a chart; saving a workbook; opening and saving files from other spreadsheets; linking documents from other spreadsheets, data analysis, etc.

Introduction

A recent study investigated the feasibility of sustaining current and increased per capita fish consumption rates in 2050, based on extensive data with respect to the changes in global and regional climate, marine ecosystem and fisheries production estimates, human population estimates, fishmeal and oil price estimations and projections of the technological advancement in aquaculture technology. The study concludes that meeting current and larger consumption rates is feasible only if fish resources are managed sustainably and fisheries management are effective (1). Aquaculture Farm Managers facing uncertainty has to make decisions every day. Some decisions have vital consequences for farm business, while others are not as crucial. These decisions mainly relates to seed, feed, fertilisers and regular water intake as management tools of farm. The choices made today may have an immediate impact on the aquaculture business or may take much longer to have an effect. These decisions may involve any facet of the farm business, including production, personnel or financing. The bottom line is that irrespective of the size or scope of any single decision, nearly all decisions may have important implications for the immediate and future success of the farm business. Because many decisions have such important impacts, farm managers need to analyze alternatives in a methodical fashion. Some alternatives can easily be analyzed, and a decision can be made quickly. In other cases, farm managers must take more time to recognize and evaluate all potential effects of that decision. To do this, farm managers need a framework for analyzing the relevant trade-offs. Agricultural economists are usually members of multidisciplinary teams, engaged in solving problems of fisheries. The economist applies economic concepts and tools to estimate economic profitability of a technology. This input can be made during any phase of the research process, technology development, testing and evaluation on farm. This paper will focus on partial budgeting as a tool that can be used by non-economists. This paper discusses on the concept of partial budgeting, a useful and easily implementable framework for such analysis.

6.1. Introduction

This chapter deals with the sample survey conducted on cotton, turmeric and castor seed farmers and recorded various benefits observed by them by using Futures market as a platform for price information. Further, it tries to examine the price discovery efficiency of commodity futures market with the help of secondary data.

It is often believed that future price is a forecast of the price of a commodity during the maturity month of its futures contracts. It is far from true. The futures price of a commodity traded at an exchange market is not so much determined by the anticipated supply of and demand for that commodity in the maturity month of its futures contracts as by the cost of carrying the commodity till the maturity of such contract. That means the spot and future prices of any commodity are always determined by the same basic forces of the present and prospective demand and supply. The difference between the two prices represents merely the cost of carrying the commodity from the present to the future. Such cost may be positive or negative depending on whether the current (not the future) supplies are abundant or scarce respectively when the price of futures contracts of any commodity is in reality relied upon by the physical market functionaries in that commodity as a “reference” price for executing their forward transactions in either the domestic or export market, that price may deem to be “discovered” in the true sense. The application of such reference price for transacting a forward transaction in the physical market in that commodity, in fact facilitates the use of the same future contract for managing price risk for such forward transaction. Hence, the price discovery and price risk management are the two sides of the same coin and efficiency of price discovery is directly related to the price risk management. A commodity exchange or a derivative market is not a mechanism for controlling prices. An efficient futures market is one that discovers prices and provides effective mechanism for managing price risk arising from unavoidable price variations owing to shifts in demand and supply schedule. Prices are determined by the basic demand and supply forces and not the market. Markets reflect the supply and demand conditions from time to time through variation in prices.

Sample Preparation

 Cheese sample is prepared by passing through 8 mesh sieve three times or

grate sample and mix thoroughly or grind to a uniform mass in a glass pestle

and mortar. Keep the sample in an airtight container until the time of analysis.

 1 Determination of Moisture Content in Cheese

 Introduction

The moisture content of cheese is defined as the loss in mass, expressed as a

percentage by mass when the product is heated in a hot air oven at 102 ± 2°C

to constant mass.

Setting

The basic difference which dovetails most of the animal breeding experiments is the unbalancedness of the data collated with respect to factorial classes thereby making non-orthogonal nature of the effects involved ubiquitous. Henderson, C.R. (1953), through a series of seminal works dealt with these types of data and came out with three distinct methods to estimate the variance components emanating out of such non-orthogonal animal experiment data. Before discussing those methods, let us delve a bit on the challenges in estimating the variance components in animal breeding data. There are two major reasons, first, several methods of estimation are available (most of which are reduced to the analysis of variance method for balanced data), but not one of them has yet been clearly established as superior to the others. Second, all the methods involve relatively cumbersome algebra; discussion of unbalanced data can therefore easily deteriorate into a welter of symbols, a situation which functions as the anti-appetizer to applied researchers.

A safe starting point towards understanding the nuances of dealing with unbalanced data could be the paper by Henderson (1953) which is quite seminal in nature. The methods described have been often referred to as the gold standard in the area of estimating variance components from unbalanced data for many years to come. Of the three, method 1 is simply an analogue of the analysis of variance method used with balanced data and method 2 is used to correct a deficiency of method 1 that arises out of mixed models and the last one is quite different and involves the method of fitting constants so often used in fixed effects models. Let us see these methods in a bit more detail in the ensuing passages.

This is an extension of the analysis of variance to cover the case where observations are taken on more than one variable from each experimental unit. Interest, however, centres on one of these (y, called the dependent variable) and the question is whether the variation of the dependent variable over the classes is due to class effects or due to its dependence on the other variables, (x’s, called the independent or concomitant variables ), which also vary from class to class. The analysis of covariance controls the experimental error by taking ito consideration the dependence of y on x.

ABSTRACT

Women are vital human resources and play a significant role in agricultural and allied sectors undertaking both on-farm and off- farm activities. Yet their contribution has not been recognized and they are considered as invisible workers. Considering this, the present study has been conducted to analysis the constraints faced by farm women in agriculture and allied sectors. A total of 100 farm women were selected as respondents through proportionate random sampling. The selected respondents were interviewed personally using pre-tested well structured interview schedule. The finding showed that the major constraints that farm women faced were limited access to productive resources like land, credit, input, extension services, storage and technical assistance, their absence from decision-making process, less wages and their illiteracy also hindered their progress. Women perform all un-mechanized agricultural tasks and perform multiple tasks, which add more burden to them.

Q.1 Analysis of covariance is an extension of ANOVA.

Q.2 In an ANCOVA technique, observations are taken on more than one variable from each experimental unit.

Background

Analysing changes in the cropping patterns is an important prerequisite for optimization and evaluation of water use efficiency and water resource management. Cropping pattern changes in India could not only be seen as resulting from the pursuit for higher economic returns, but also as a feedback response to limited water resources. Although a systematic framework is still needed for future cropping pattern planning in the country by taking food security, continued agricultural expansion and other constraints into consideration, the existing cropping pattern may provide an insight with which alternative cropping patter may be proposed for a right intervention in enhancing water productivity and food security.

This chapter reports the analysis of the data collected from Phase One and Phase Two of the research .The chapter is organized in three sections. The first section presents the analysis of the data collected in the first phase through the administration of the survey questionnaire (Appendix-I). It deals with a study of the potential of Internet as a communication tool through an account of the Internet usage habits of the two cities followed by a presentation of their perception, attitudes and internet adoption among the people.

Introduction

The minimum dissolved oxygen (DO) level that fish can safely tolerate depends upon temperature and to a certain extent the species. Volubility of oxygen increases as temperature decreases. In ponds, DO can change dramatically over a 24-hour period. During the day oxygen is produced by photosynthesis, the process by which green plants convert water and carbon dioxide in the presence of light, to oxygen and carbohydrates. During the night and day oxygen is consumed by respiration, the process by which plants and animals use oxygen to produce carbon dioxide as they burn carbohydrates, but in the day photosynthesis usually produces more oxygen than is used.

Sample Preparation

Sample should be taken at six or more points on the top of the surface by means of a tubular trier of sufficient length to extend to the bottom of the barrel. Remove this cores and transfer to clean, dry, air tight container and seal immediately.

Before opening sample for analysis, make homogenous either by shaking or by alternately rolling and inverting container. If lump are present, sift sample through No 20 sieve, rubbing material through sieve and tapping vigorously, if necessary.

Avoid sampling on rainy day or when humidity is high, so as to reduce moisture absorption from air.

1 Determination of Moisture Content by Moisture Balance Introduction

In this procedure, infra-red radiation is used to accomplish rapid drying. The tester has a sensitive torsion balance which permits rapid determination directly from the balance scale, eliminating the need for computing or calculation to obtain results. This method is useful for the in-process determination of moisture because the results may be obtained in minutes.

Introduction

Any computer that has Microsoft office excel in it can operate this statistical calculator. Operating system requirement is Windows 7 or its higher version. Usually looking at a data we become nervous and start thinking that how to analyse the data using computer programme, how to write the report of the research analysis etc. This newly developed statistical calculator will remove the fear of data analysis and make our life easy. This calculator will get the data analysis done within a very reasonable computing time.

This chapter introduces a new statistical calculator which provides a step-by-step guide to data analysis of the research data generated in agriculture, biological sciences and in other fields (Singh and Chaudhary, 1985; Chandel, 1998; Bhattacharya and Chowdhury, 2010). The process used to develop the program is quite involved with statistical theories and is not understandable to those who do not have any background in statistics and data analysis. Here we will explain the procedure adopted and the programme used, step-by-step so that it becomes easily comprehensible. We have provided examples in each spreadsheet for analysis. Data analysis with this statistical programme is not really difficult. According to the draft format required for analysis, you only need to arrange and enter the raw data. It does not require much information and knowledge about the formula used as well as the program developed to analyze the data (http://www.sbear.in/).

Introduction

The Food Security is one of the most important dimensions of livelihood security of household (Rahman and Akter, 2010), because all efforts of the family members are directed towards fulfilling the family need including food. Food security defined as “access by all people at all times to enough food for an active, healthy life”. Food security includes at a minimum: (1) the ready availability of nutritionally adequate and safe foods, and (2) an assured ability to acquire acceptable foods in socially acceptable ways (Anderson, 1990). It is also an indicator of sustainability of any vocation be it fish, crop, livestock production or combination of it. In case of Tripura very little study has been made in this aspect. Therefore, in this paper it is attempted to assess the status of food security of fish farmers of Tripura, using Index of Food Consumption (IFC) and Clustering Technique.

Data and Methodology

This study was undertaken in Tripura state and study area comprises 6 Rural Development Blocks viz. Bishalgarh, Melagarh and Mohanpur of West Tripura district; Hrishyamuk, Rajanagar and Matabari of South Tripura District. From these blocks a sample of 105 fish farmers was selected using stratified sampling method for gathering the primary data. The pretested, semi structured survey schedule was administered to collect the data during 2010.

Abstract

Plant genetic resources constitute the chief component of agro-biodiversity and comprise of land races, modern cultivars and obsolete varieties, breeding lines, genetic stocks and wild species. They provide the basic materials to the plant breeders to utilize genetic variability for the development of high yielding cultivars with a broad genetic base. The utilization of these genetic resources, however, depends upon their efficient and adequate characterization and evaluation, which in turn entails efficient characterization standards and appropriate strategies.

Introduction

Analysis of trait data generated from characterization and evaluation of the genetic resources is used to understand and use diversity. Currently, a large number of distance measures are available for analyzing similarity/dissimilarity among accessions based on different traits representing different types of variables. The selection of the most appropriate distance measure for each trait is the prerequisite for diversity analysis. One of the approaches is to form clusters where accessions between clusters would be more diverse than the accessions within a cluster. The clustering algorithms require a distance/similarity matrix between the accessions which can be calculated depending upon the nature or type of traits such as morphological and agronomic traits and/or molecular markers.

ABSTRACT

Ground water is an important source of water supply throughout the world for irrigation, industries, municipalities and rural homes and the dependence of an Indian village is on its water source only. The quality of water is as important as its quality. The quality required of a groundwater supply depends on its purpose such as drinking or agricultural or industries. To establish quality criteria, measures of chemical, physical, biological constituents must be specified as well as standard methods for reporting and comparing results of water analysis .For that a case study is to be made. Cuddalore district is a rapidly growing urbanized industrial area and lies at the east coast of Tamil Nadu in India. It mainly depends on the ground water. Water quality data for the observation wells from the year 1989 to 1999 were collected and spatial distribution of the groundwater quality is analysed using geographic information system. The important factors such as pH, Chloride shows higher level and generally occur in the central belt of the study area which is rich in mineral wealth. Compared to the eastern half the western half shows better quality of water. From the analysis, 80% of the study area is suitable for agricultural purpose and 75% of the study area is suitable for domestic and drinking purpose.

Sample Preparation

a) Plain products: Sample should be softened at room temperature. Since the melted fat tends to separate and rise to the surface, it is not advisable to soften the sample by heating on a water bath or oven or flame. Mix thoroughly by stirring with spoon or eggbeater or by pouring back and forth between beakers.

b) Ice-cream containing Fruits and Nuts: Fill one third part of the cup with ice cream sample. Melt the product at room temperature and mix until insoluble particles are finely divided (about 3-5 minutes for fruit pieces and upto 7 minutes for nut pieces). Otherwise, the product may be ground in a porcelain or glass pestle and mortar. Don’t let temperature exceed 25oC at any time during softening and mixing steps. If fat separation occurs, discard sample otherwise immediately pour mixture into wide jar and cap tightly. If allowed to stand, shake vigorously before taking sample for analysis.

Abstract

Wild plants of medicinal value are the embodiment of knowledge perception gift from our ancestors and these plays a significant role in curing various human health disorders. This gifted knowledge of economic plants used by the local people usually has long narrations for use in their daily activities. Considering the value of indigenous knowledge associated with plants, a study was undertaken on herbaceous communities in Atraulia area (Burhanpur tehsil), district Azamgarh, Uttar Pradesh. During the investigation, a total of 71 informants (22 females and 49 males) were interviewed and data regarding ethnobotanical information on wild plant species were documented and analysed. The results indicated a total of 169 species belonging to 41 families used in indigenous herbal preparation as medicine from Atraulia area by local tribal people. The dominant growth forms were the annual herbs represented by 91 species, followed by 46 species of perennial nature and 32 species of biennial growth. Therefore, we can conclude that this region is rich in herbaceous plants and plant used as medicine is wide spread in the study area. This communication deals with demography of the informants, botanical name of herbaceous plants, family, part used, disease cure, use report, frequency of use and recommendation for conservation of unique valueable resources.

10.1 Introduction

Industrial effluents, which are deteriorate their quality, and push them to the brink of extinction in the process of unplanned discharge, giving rise to the need for suitable conservation strategies for the receiving water body. Unfortunately, over the years, less attention has been given to industrial effluents world over. The degradation of the industrial effluents has altered their functions, affecting the ecological balance. The objectives of carrying out the physico-chemical and biological analyses of water bodies are as follows:

1. Generally, industrial effluent functions directly relate to their physical, chemical and biological integrity. Water quality evaluation for industrial effluent leads to information about their misuse by indicating the pollution status. 1st define water quality objectives as the overall direction and purpose of the industrial effluent and furthermore define goals as milestones to be met during the course of a book. Since the quality of aquatic life depends on the water quality, a thorough assessment of the water quality is an integral part of industrial effluent toxicity evaluation. The assessment of the chemical criteria of the industrial effluent helps in

Groundnut is one of the main oilseed crop of India.Unlike many oilseeds, Groundnut can be consumed directly in various farms and hence now it is also being considered a supplementary food crops. In india groundnut is grown in an area of about 6.5 hectares with a production of  about 7 million tones of pods per annum (2007). It is one of the few crops that can be cultivated even on marginal lands under low input conditions. Unfortunately average productivity of groundnut in india is quite low (1000kg) compared to (USA-3000 kg/ha, China- 2600 kg/ha, Argentina-2100 kg/ha  and  Indonesia-1550 kg/ha).

Sampling of Milk for Analysis

A careful and accurate sampling is of utmost importance for the analysis of milk. It is a fundamental principle of sampling that the quantities withdrawn, must be proportional to the quantities contained in the respective containers and uniform throughout in its composition.Thorough mixing of milk must first be ensured either by stirring or by shaking gently. If milk from an individual animal is to be sampled, the sample should be taken from the middle of vessel containing the whole amount of milk. If the sample bottles have been standing for sometime, resulting in the separation of fat in the cream layer or lumps of fat appear, the bottles may be heated in a water bath upto 40°C to melt the fat before mixing. Milk should not be shaken very violently under any circumstance as it may result in an uneven distribution of fat.

Considering the economic importance of chlorophyll variegation in floriculture trade attempt was made for cytological, anatomical and biochemical analysis of chlorophyll variegated mutants for better and clear understanding of origin of chlorophyll variegation (Kirk and Tilney-Bassett 1967, Datta et al. 1995). Following chlorophyll variegated mutants and their respective original varieties were analysed –

‘Los Banos Beauty’ (LBB) : Original double bracted Bougainvillea with green leaf.

Introduction

Ammonia, nitrite and nitrate are considerable in the water quality management because they can be produced a toxic depending to their form and concentration. The solubilities of nitrogen contain in water at different temperatures and pressures. Nitrogen is a basic growth substance and an important element in aquatic ecosystems as well as in the pond water. It exists variously forms in water and manly classified in organic and inorganic.

INTRODUCTION

Several biophysical factors govern the agricultural productivity of a region. Among the key biophysical factors, weather and more particularly rainfall has the over riding impact on agricultural productivity since rainfall is a primary source of water and the first requirement for raising any crop. This element influences various dynamics of crop growth and development and accounts from nearly two thirds of variation in agricultural productivity. The amount of rainfall at a particular place is important; an equal important factor is its temporal distribution, which is uneven, uncertain and erratic in most part of the country. Breaks in monsoon are common phenomenon during the monsoon period. The analysis of rainfall characteristics such as occurrence and distribution of dry or wet spell is essentially required for successful crop planning, development of befitting agro techniques, recommendation of suitable crop variety, designing of water harvesting ponds, earthen dams and other soil conservation structures. It is also an established fact that the crop development will be affected if the dry spell coincides with sensitive phonological stage of the crop and sometimes beneficial if it coincides with the ripening stage. Hence for the purpose of crop planning and to carry out the agricultural practices, it is important to know the sequence of dry and wet periods. An attempt has been made in this paper to analyse the rainfall in standard meteorological week as well as monthly basis at different probability levels for Lembucherra by using computer based forecasting technique.

1 Analysis of Chemical Composition of Milk

 1.1 Determination of Acidity of Milk

 Introduction

The acidity of milk can be determined by titrating the milk against standard sodium hydroxide solution using an indicator like phenolphthalein and is expressed in the terms of lactic acid. Though natural acidity in milk is due to its constituents such as casein, albumin, citrates, phosphates and carbon dioxide but it is customary to express in terms of lactic acid. As one gram equivalent weight of an alkali neutralizes one gram equivalent weight of an acid, the volume of standard alkali required to neutralize lactic acid of fixed volume of milk gives percent acidity of milk according to the reaction.

Abstract
The assistance/credit provided by banks is classified as priority sector lending and non-priority sector lending. Priority Sector Lending (PSL) is one which has got the order of preference over other sectors by the target groups in availing bank credit as per the directives of RBI. It is one of the important steps taken by the government for the cause of rural development. It involves rising the socio-economic status of the rural population on sustainable  basis through the optimum utilization of local resources. In the words of Planning Commission1 rural development could be achieved through strategies, policies and programs  for the development of rural areas and the promotion of activities carried out in such spheres as agriculture, forestry, fishing, rural crafts and industries, the building up of social and economic infrastructure, with the ultimate aim of achieving a fuller utilization of available physical and human resources and earns higher income and better living conditions for the population. According to Desai2, the preamble to the Bank Nationalization Act, 1970 clearly lays down that the banking system has to function in alignment with priorities and objectives. According to Srinivasan3  during 1969-89, the PSL has considerably increased and radical transformation has taken place in the allocation of pattern of credit. The trend analysis in between 1969-89 indicated that banking system has achieved a good blend of social and commercial banking.

Introduction

In recent past vegetable cultivation took enormous turn over because of increased population, inflow of tourists and increased per capita income in the Bay Islands as well as India. Population in these islands is increasing due to immigration of people from main land and the land area is limited.

Where Y is the average yield of a crop in a sequence over a period of years “n” and S is the standard deviation of yield over a period of years, Y max is the maximum yield of a crop in a certain year.

Example 1. Six crop sequences were evaluated in simple randomized block design replicated four times at Durgapura. The sequences tried are pearl millet-wheat, cluster bean-wheat, pearl milletmustard, cluster beanbarley, cowpea-mustard and pearl millet-Chickpea under irrigated conditions.

Introduction

India has shaped its economic growth and transformed through information technology and digitalisation/ The Digital India initiative has tremendously improved its economic development. India’s efforts to revolutionize its information technology have taken the road ahead among the developed countries/ The contribution in the digital payment system has shifted in the banking and financial services sector. The emergence of technology upgradation through the internet has gained momentum in shifting towards internet and mobile banking technologies. The advent of technology has revolutionized the banking system through the evolution of financial technology with sustainable technological architecture through artificial intelligence which has enhanced ease of access for customers in the banking and financial sector. Artificial intelligence revolutionized various industries especially in the banking sector which has enhanced the way for interact the customers. The AI technology helps in reducing the cost for the Financial Sector. The Banks are welcoming the new age technology to serve betterment of the modern banking services.

True/False

Q.1.    According to Prof. RA Fisher “ANOVA” is the separation of variance assignable to one group of causes from the variance assignable to other group of causes.
Q.2.    The basic purpose of ANOVA technique is to test the equality (homogeneity) of several population means from the same 
experiment.

11.1 Introduction

The analysis of variance is a powerful statistical tool for tests of significance.  The test of significance based on t-distribution is an adequate procedure only for testing the significance of the difference between two sample means. In a situation when we have three or more samples to consider at a time an alternative procedure is needed for testing the hypothesis that all the samples are drawn from the same population, i.e., they have the same mean. For example five fertilizers are applied of four plots each of wheat and yield of wheat on each of the plot is given we may be interested in finding out whether the effect of these fertilizers on the yields is significantly different or in other words, whether the samples have come from the same normal population. The answer to this problem is provided by the technique of analysis of variance. Thus basic purpose of the analysis of variance is to test the homogeneity of several means.

What is AHP

Analytic Hierarchy Process (AHP) is a decision-making methodology that helps individuals and groups systematically analyze and prioritize complex decisions.

Developed by Thomas L. Saaty (1987), AHP breaks down a decision problem into a hierarchical structure and uses pairwise comparisons to assess the relative importance of different criteria and alternatives.

Manychemicalreactions innature,particularlyinlivingsystems,occur inaqueous solutions. Reactions are often carried out in the laboratory in aqueoussolution becausethese aregenerallymore rapid in solutionthanwhen puresolid reactions are mixed. Analysisof substancesmaybe qualitative or quantitative in nature. A quantitative analysisis one inwhich the amountor concentrationof a particular species in a sample is determined accurately and precisely.

1.1 Volumetric Analysis

Volumetric analysis is a quantitative analysis. It involves the measurement of the volume of a known solution required to bring about the completion of the reaction witha measuredvolume of the unknown solution.

The reaction used in volumetric analysis must fulfil the followingconditions;

Practice to calculate the weight / volume of reagents required to prepare the following standard solutions.

Preparation of Standard Solution - (1 M, 0.1 M, 1 N, 0.1 N, 0.5 N, 5%, 10%, 20%, 10 ppm, 20 ppm, 100 ppm)

Analytical chemistry is a branch of chemistry dealing with the determination of constituents of a substance or mixture of substances.

1.1 Qualitative Analysis

Qualitative analysis deals with the identification of the constituents of a substance, mixture of substances, or solutions and the way in which component element or a group of elements are constituted.

1.2 Quantitative Analysis

Quantitative analysis is concerned with the determination of quantitative contents of individual element or group of elements or compound present in the substances. This branch of analytical chemistry is of enormous scope and importance in science, industry and agriculture. The quantitative analysis can be divided into several categories based on the different methods employed for their quantitative measurements such as:

5.1 Volumetric Techniques or Titrimetric Analysis

Acid Base Neutralization Reactions-Acidimetry & Alkalimetry

Oxidation –Reduction Reactions-Oxidometry (Permanganometry) & Dichrometry

Atomic weight of an element is defined as the relative average weight of its atom as compared to the weight of an atom of C12 (stable isotope) taken as 12 on the a.m.u. (atomic mass unit) scale.

Analytical methods development and validation play important roles in the discovery, development, and manufacture of pharmaceuticals.

Pharmaceutical products formulated with more than one drug, typically referred to as combination products, are intended to meet previously unmet patients need by combining the therapeutic effects of two or more drugs in one product. These combination products can present daunting challenges to the analytical chemist responsible for the development and validation of analytical methods. This presentation will discuss the development and validation of analytical method (Spectrophotometric, High performance liquid chromatography (HPLC), & High performance thin layer chromatography (HPTLC)) for drug products containing more than one active ingredient. The official test methods that result from these processes are used by quality control laboratories to ensure the identity, purity, potency, and performance of drug products.

In chemistry, and especially in biochemistry, a fatty acid is a carboxylic acid with a long aliphatic tail (chain), which is either saturated or unsaturated. Most naturally occurring fatty acids have a chain of an even number of carbon atoms, from 4 to 28. Fatty acids are usually derived from triglycerides or phospholipids. When they are not attached to other molecules, they are known as “free” fatty acids. Fatty acids are important sources of fuel because, when metabolized, they yield large quantities of ATP. Many cell types can use either glucose or fatty acids for this purpose.

Statistics is a branch of science which deals with the collection, classification, description and interpretation of data obtained by conducting surveys and experiments. The essential purpose of it is to describe and draw valid inferences about numerical properties of populations” (Ferguson 1966). The experience in statistics application indicates that a single statistical method can be used in different research areas for dealing with different types of problems. Various possibilities which application of a statistical method provides in certain research areas should be considered as an adequate way of dealing with a problem of the research. However, it should be noted that statistics is not a method by which it is possible to solve all the problems in a research. Nachmias and Nachmias (2009) stated that there are basically two types of statistics which include descriptive and inferential statistics. Descriptive statistics enable the researcher to summarize and organize data in an effective and meaningful way. It involves the use of tables, charts, graphs, mean, modes, median, standard scores and correlation to treat collected data. Inferential statistics is concerned with making inferences from a unit of a population. Inferential statistics is concerned with making inferences from a unit of a population. Inferential statistics allow the researcher to make decisions or inferences by interpreting data patterns. Researchers use inferential statistics to determine whether an expected pattern designated by the theory and hypotheses is actually found in the observations. To decide whether this hypothesis is true, researchers might survey the respondents and then use descriptive statistics to make comparison between these groups and would employ inferential statistics to determine whether the differences between the groups are significant or not.

1. Introduction

The chemical composition of a food is of utmost importance from many standpoints, including nutrition, safety, and stability to microbiological, chemical or physical changes. Analysis of these food components is required to provide nutrition labelling for informing the health-conscious consumer, for quality assurance during processing and storage, and for regulatory purposes. The methodology used in analysis will depend on the particular component and the nature of product being analyzed, the purpose of the analysis, and the availability of resources. The emphasis of this chapter is on understanding the principles, procedures and calculations involved in estimating a particular component in fruits, vegetables and their products.

Methods and procedures for the qualitative characterization and quantitative analysis of different constituents of soil organic matter are presented in this Chapter.

20.1. Moisture

The soil sample should be in an air-dry condition after mixing, sieving and grinding. When stored in a moisture-tight container, the free H₂O content should not vary appreciably during storage. While most determinations can be done on air-dry samples, for certain purposes such as obtaining summation values, a moisture content value is required.

Analyzing feeds for nutrient content is essential for proper balancing of livestock rations. This is especially essential for those feeds that have undergone the fermentation process. Silage samples should be analysed for dry matter, protein fractions (degradable and undegradable protein, soluble protein, and heat damaged protein), ADF, NDF, mineral content and energy. In addition to these components, lactic, acetic, and butyric and propionic acids, pH, ammonia nitrogen, ethanol, and yeast and mold counts are also quantified.

Fertility of a soil can be assessed by analyzing various available nutrients present in the soil. Fertilizer recommendations for various crops and cropping sequences can be made on the basis of fertility status of a soil. Besides this, problematic soil can be ameliorated on the basis of soil test values. Among the various steps of soil testing programmes, soil sampling is the most vital step.